code: def test_5_vector_distance(self):
      res = self.handler.select(
          "test_data17",
          ["id", "content", "metadata", "embeddings"],
          [
              FilterCondition(
                  column="search_vector",
                  op=FilterOperator.EQUAL,
                  value="[4.0, 2.0, 7.0, 4.0, 2.0, 5.0, 2.0, 9.0]",
              )
          ],
          None,
          None,
      )
      assert (
          res.resp_type is RESPONSE_TYPE.TABLE
          and "distance" in res.data_frame.columns
      )
  
file_path: mindsdb/mindsdb/integrations/handlers/lancedb_handler/tests/test_lancedb_handler.py
imports: import unittest
  from mindsdb.api.executor.data_types.response_type import RESPONSE_TYPE
  from mindsdb.integrations.handlers.lancedb_handler.lancedb_handler import LanceDBHandler
  from mindsdb.integrations.libs.vectordatabase_handler import FilterCondition, FilterOperator
  import pandas
label_desc: Use image node_id 7 for calling the LanceDBHandlerTest obj's underlying member method code with example usage: obj.test_5_vector_distance() without return types